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Fuzzy Logic Type 1 and Type 2 Based on Labview™ Fpga (Studies in Fuzziness and Soft Computing)
Pedro Ponce-Cruz; Arturo Molina; Brian Maccleery (Autor)
·
Springer
· Tapa Dura
Fuzzy Logic Type 1 and Type 2 Based on Labview™ Fpga (Studies in Fuzziness and Soft Computing) - Pedro Ponce-Cruz; Arturo Molina; Brian Maccleery
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Reseña del libro "Fuzzy Logic Type 1 and Type 2 Based on Labview™ Fpga (Studies in Fuzziness and Soft Computing)"
This book is a comprehensive introduction to LabVIEW FPGA™, a package allowing the programming of intelligent digital controllers in field programmable gate arrays (FPGAs) using graphical code. It shows how both potential difficulties with understanding and programming in VHDL and the consequent difficulty and slowness of implementation can be sidestepped. The text includes a clear theoretical explanation of fuzzy logic (type 1 and type 2) with case studies that implement the theory and systematically demonstrate the implementation process. It goes on to describe basic and advanced levels of programming LabVIEW FPGA and show how implementation of fuzzy-logic control in FPGAs improves system responses. A complete toolkit for implementing fuzzy controllers in LabVIEW FPGA has been developed with the book so that readers can generate new fuzzy controllers and deploy them immediately. Problems and their solutions allow readers to practice the techniques and to absorb the theoretical ideas as they arise. Fuzzy Logic Type 1 and Type 2 Based on LabVIEW FPGA™, helps students studying embedded control systems to design and program those controllers more efficiently and to understand the benefits of using fuzzy logic in doing so. Researchers working with FPGAs find the text useful as an introduction to LabVIEW and as a tool helping them design embedded systems.
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